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Nanocomposite Membranes Comprising Crosslinked Polymer Blends of Poly(vinyl alcohol)/Poly(styrene sulfonic acid-co-maleic acid) and Fumed Silica Nanoparticles.
Kang, Moon-Sung; Kang, Yong Soo; Kim, Hyoung-Juhn; Han, Hak-Soo; Park, Jin-Soo.
Afiliação
  • Kang MS; Department of Environmental Engineering, Sangmyung University, 31 Sangmyungdae-gil, Dongnam-gu, Cheonan-si, Chungnam 31066, Republic of Korea.
  • Kang YS; Department of Energy Engineering, Hanyang University, 1 Haengdang-dong, Seongdong-gu, Seoul 04763, Republic of Korea.
  • Kim HJ; Fuel Cell Research Center, Korea Institute of Science and Technology (KIST), Hwarangro 14-gil 5, Seongbuk-gu, Seoul 02792, Republic of Korea.
  • Han HS; Department of Chemical and Biomolecular Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea.
  • Park JS; Department of Environmental Engineering, Sangmyung University, 31 Sangmyungdae-gil, Dongnam-gu, Cheonan-si, Chungnam 31066, Republic of Korea.
J Nanosci Nanotechnol ; 18(3): 1657-1664, 2018 Mar 01.
Article em En | MEDLINE | ID: mdl-29448642
ABSTRACT
Nanocomposite polymer electrolyte membranes comprising a crosslinked polymer blend of poly(vinyl alcohol)/poly(styrene sulfonic acid-co-maleic acid) (PVA/PSSA-co-MA) and fumed silica nanoparticles were prepared for direct methanol fuel cell (DMFC) applications. Silica nanoparticles could be incorporated well uniformly in the completely miscible system, which can form a three-dimensional network structure to achieve the enhancement of mechanical properties as well as the additional reduction of methanol permeability. The optimized proton conductivities and methanol permeability of the PVA/PSSA-co-MA membrane with silica nanoparticles of 10 wt.% were 0.0482 S cm-1 at room temperature and 5.78 × 10-7 cm2 s-1 at the methanol concentration of 40% (w/w), respectively.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article